Grok Imagine API

The reseller pages that rank for this keyword give you an endpoint and a snippet. The flow published on this page is the thing itself: a Video Prompt input node wired into the Grok Imagine Video node, with one edge carrying the prompt. Open it and you can read every setting rather than guess at it: duration, aspect ratio, resolution, and the optional image port that turns text-to-video into image-to-video.

Publishing that graph gives you two call surfaces at once. It is a REST endpoint your code can POST a prompt to, and it is an MCP tool an agent can list and run. The video node is left unexecuted on purpose, because video generation spends credits and expensive video nodes are never auto-run, so what you see is the real wiring, not a pre-baked demo clip.

Grok Imagine Video is fast and good at motion, but no single video model wins every shot. Because it is one node on a canvas, switching it for Veo 3.1, Kling or Seedance is a swap, not a rewrite: the prompt wiring stays, you change the node, and you run the same brief through a different model to compare. All of them run under one Wireflow key, which is the point of a hosted video generation API instead of four separate provider integrations.

That is the honest trade. A reseller gives you Grok Imagine behind a thin wrapper; Wireflow gives you Grok Imagine Video plus the room to move off it the moment a different model renders your shot better, without touching your calling code.

Wireflow runs Grok Imagine's video model, not its still-image model. If you specifically need Grok Imagine stills, or you need xAI-native features, rate limits and billing exactly as xAI ships them, then xAI's own API or a direct reseller is the right tool, and this page will not pretend otherwise.

Wireflow is also the generation layer, not the reasoning brain. It does not write your prompts or decide your creative, and every clip spends credits, so a large batch is a real spend decision. If you only ever call one fixed model from one place, a plain integration is simpler. The canvas earns its keep the moment you want swaps, chains, batches, or an agent that can run the model as a tool.